Triple

T22612580
Position Surface form Disambiguated ID Type / Status
Subject Rama Lake E566749 entity
Predicate nearbyPeak P7612 FINISHED
Object Nanga Parbat NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nanga Parbat | Statement: [Rama Lake, nearbyPeak, Nanga Parbat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanga Parbat
Context triple: [Rama Lake, nearbyPeak, Nanga Parbat]
  • A. Nanga Parbat chosen
    Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
  • B. Hathi Parbat
    Hathi Parbat is a prominent mountain peak in the Indian Himalayas known for its steep faces and challenging climbing routes near the Valley of Flowers region in Uttarakhand.
  • C. Hari Parbat
    Hari Parbat is a prominent hill and historic fort complex overlooking Srinagar in Jammu and Kashmir, India, revered as a major religious and cultural landmark.
  • D. Tirich Mir
    Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
  • E. Mani Parbat
    Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167eb08c88190bf2380fa8575d2da completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:57 p.m.